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R&D and productivity : estimating production functions when productivity is endogenous

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  • Ulrich Doraszelski

    ()

  • Jordi Jaumandreu

    ()

Abstract

We develop a simple estimator for production functions in the presence of endogenous productivity change that allows us to retrieve productivity and its relationship with R&D at the firm level. By endogenizing the productivity process we build on the recent literature on structural estimation of production functions. Our dynamic investment model can be viewed as a generalization of the knowledge capital model (Griliches 1979) that has remained a cornerstone of the productivity literature for more than 25 years. We relax the assumptions on the R&D process and examine the impact of the investment in knowledge on the productivity of firms. We illustrate our approach on an unbalanced panel of more than 1800 Spanish manufacturing firms in nine industries during the 1990s. Our findings indicate that the link between R&D and productivity is subject to a high degree of uncertainty, nonlinearity, and heterogeneity across firms. By accounting for uncertainty and nonlinearity, we extend the knowledge capital model. Moreover, capturing heterogeneity gives us the ability to assess the role of R&D in determining the differences in productivity across firms and the evolution of firmlevel productivity over time.

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Bibliographic Info

Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we078652.

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Date of creation: Dec 2007
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Handle: RePEc:cte:werepe:we078652

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  1. Pavcnik, Nina, 2002. "Trade Liberalization, Exit, and Productivity Improvement: Evidence from Chilean Plants," Review of Economic Studies, Wiley Blackwell, vol. 69(1), pages 245-76, January.
  2. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
  3. Whitney Newey & James Powell & Francis Vella, 1998. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Working papers 98-16, Massachusetts Institute of Technology (MIT), Department of Economics.
  4. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," CEP Discussion Papers dp0458, Centre for Economic Performance, LSE.
  5. Simeon Djankov & Rafael La Porta & Florencio LopezdeSilanes & Andrei Shleifer, 2000. "The Regulation of Entry," NBER Working Papers 7892, National Bureau of Economic Research, Inc.
  6. Jaumandreu, Jordi & Mairesse, Jacques, 2006. "Using price and demand information to identify production functions," MPRA Paper 1247, University Library of Munich, Germany.
  7. Guido Fioretti, 2005. "The Production Function," Papers physics/0511191, arXiv.org.
  8. Pilar Beneito, 2001. "R&D productivity and spillovers at the firms level: evidence from Spanish panel data," Investigaciones Economicas, Fundación SEPI, vol. 25(2), pages 289-313, May.
  9. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
  10. Marc-Andreas Muendler, 2004. "Estimating Production Functions When Productivity Change is Endogenous," CESifo Working Paper Series 1143, CESifo Group Munich.
  11. Adam B. Jaffe, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits and Market Value," NBER Working Papers 1815, National Bureau of Economic Research, Inc.
  12. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
  13. Dolado, Juan J. & Garcia-Serrano, Carlos & Jimeno, Juan Francisco, 2001. "Drawing Lessons From the Boom of Temporary Jobs in Spain," CEPR Discussion Papers 2884, C.E.P.R. Discussion Papers.
  14. Ariel Pakes & Mark Schankerman, 1980. "An Exploration into the Determinants of Research Intensity," NBER Working Papers 0438, National Bureau of Economic Research, Inc.
  15. Griliches, Zvi & Regev, Haim, 1995. "Firm productivity in Israeli industry 1979-1988," Journal of Econometrics, Elsevier, vol. 65(1), pages 175-203, January.
  16. Whitney K. Newey & James L. Powell, 2003. "Instrumental Variable Estimation of Nonparametric Models," Econometrica, Econometric Society, vol. 71(5), pages 1565-1578, 09.
  17. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Wiley Blackwell, vol. 70(2), pages 317-341, 04.
  18. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  19. Delgado, Miguel A. & Farinas, Jose C. & Ruano, Sonia, 2002. "Firm productivity and export markets: a non-parametric approach," Journal of International Economics, Elsevier, vol. 57(2), pages 397-422, August.
  20. Huergo, Elena & Jaumandreu, Jordi, 2004. "Firms' age, process innovation and productivity growth," International Journal of Industrial Organization, Elsevier, vol. 22(4), pages 541-559, April.
  21. Carmine Ornaghi, 2002. "Spillovers In Product And Process Innovation: Evidence From Manufacturing Firms," Economics Working Papers we023213, Universidad Carlos III, Departamento de Economía.
  22. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
  23. Xulia González & Jordi Jaumandreu & Consuelo Pazó, 2001. "Barriers to innovation and subsidy e¤ectiveness," Working Papers 0112, Universidade de Vigo, Departamento de Economía Aplicada.
  24. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
  25. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June.
  26. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
  27. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
  28. Bronwyn Hall & Fumio Hayashi, 1989. "Research and Development As An Investment," NBER Working Papers 2973, National Bureau of Economic Research, Inc.
  29. Petia Topalova, 2004. "Trade Liberalization and Firm Productivity," IMF Working Papers 04/28, International Monetary Fund.
  30. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-54, July.
  31. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R & D, Patents, and Productivity, pages 73-88 National Bureau of Economic Research, Inc.
  32. Tor Jakob Klette, 1996. "R&D, Scope Economies, and Plant Performance," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 502-522, Autumn.
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